Data lakehouse snowflake11/10/2023 ![]() ![]() ![]() In each of these scenarios, query federation gets you to insights faster, because you can query the data in place and avoid complex and time-consuming ETL processing. Supporting workloads during incremental migration.The exploratory phase of new ETL pipelines or reports.The lakehouse emphasizes central storage of data to reduce data redundancy and isolation, but your organization may have numerous data systems in production, and you might want to query data in connected systems for a number of reasons: Unity Catalog’s data governance and data lineage tools ensure that data access is managed and audited for all federated queries made by the users in your Azure Databricks workspaces. You configure read-only connections to popular database solutions using drivers that are included on Pro SQL Warehouses, Serverless SQL Warehouses, and Databricks Runtime clusters. The term query federation describes a collection of features that enable users and systems to run queries against multiple data sources without needing to migrate all data to a unified system.Īzure Databricks uses Unity Catalog to manage query federation. Lakehouse Federation is the query federation platform for Azure Databricks. It also describes how to set up Lakehouse Federation connections and create foreign catalogs in your Unity Catalog metastore. This article introduces Lakehouse Federation, the query federation platform that enables you to use Azure Databricks to run queries against multiple external data sources. ![]()
0 Comments
Leave a Reply.AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |